Deep learning for emergency ascites diagnosis using ultrasonography images.

Journal: Journal of applied clinical medical physics
PMID: 35723875

Abstract

PURPOSE: The detection of abdominal free fluid or hemoperitoneum can provide critical information for clinical diagnosis and treatment, particularly in emergencies. This study investigates the use of deep learning (DL) for identifying peritoneal free fluid in ultrasonography (US) images of the abdominal cavity, which can help inexperienced physicians or non-professional people in diagnosis. It focuses specifically on first-response scenarios involving focused assessment with sonography for trauma (FAST) technique.

Authors

  • Zhanye Lin
    Shantou University Medical College, Shantou, China.
  • Zhengyi Li
    Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
  • Peng Cao
    Medical Image Computing Laboratory of Ministry of Education, Northeastern University, 110819, Shenyang, China.
  • Yingying Lin
    Department of Center of Integrated Traditional Chinese and Western Medicine, Peking University Ditan Teaching Hospital, Beijing, People's Republic of China.
  • Fengting Liang
    Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
  • Jiajun He
    School of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Libing Huang
    Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.

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